Resources and tips3-5 min read
Technical Tasks and Case Studies: How to Approach Them Smartly
For many roles at ICEYE, especially in engineering, software, data, and operations, a technical task or case study is part of the process. We design these to be as close as possible to the kind of work you might actually do with us.
It’s natural to feel some pressure here, but remember: we’re not just grading you on whether you “get it perfect.” We’re interested in your thinking process.
A good way to start is by restating the problem in your own words. This helps you check your understanding and can reveal any hidden assumptions. If something is unclear and you’re allowed to ask questions, do it. Clarifying early is a strength, not a weakness.
Next, focus on getting a simple, correct solution working before you try to optimize or add extra features. This mirrors real life: reliability and clarity matter more than cleverness in critical systems.
Throughout, think about trade‑offs. Maybe you choose a simpler algorithm because it’s easier to maintain, or you accept some performance cost in exchange for readability. If you explain those choices,either in comments, a short accompanying note, or during the review,your reasoning becomes visible to us.
We also appreciate good communication around your solution:
- Brief notes on how to run or review your work
- A quick summary of what you’d do next with more time
- Honest mention of limitations you’re aware of
The same principles apply to non‑coding tasks and business cases. Structure the problem, make your assumptions explicit, work through a clear line of reasoning, and highlight where you’d look for more data.
In short, treat the task as a window into how you think and work with others. That’s exactly how we see it too.
Check List: What matters most in your technical task
- How you structure the problem.
- The trade‑offs you consider.
- How clearly you explain assumptions and limitations.
- Readable, maintainable solutions over overly clever ones.
How to approach them
- Restate the problem in your own words.
- Clarify assumptions if possible.
- Start with a simple, correct solution, then improve.
- Add brief notes on how to run your solution and what you’d do next with more time.
